NDLI: Optimal control of distributed generators and capacitors by hybrid DPSO

Content Provider	IEEE Xplore Digital Library
Author	Ziari, I. Ledwich, G. Ghosh, A. Platt, G.
Copyright Year	2011
Description	Author affiliation: Queensland University of Technology, Brisbane, Australia (Ziari, I.; Ledwich, G.; Ghosh, A.) \|\| CSIRO Energy Centre, Newcastle, Australia (Platt, G.)
Abstract	In this paper, a comprehensive planning methodology is proposed that can minimize the line loss, maximize the reliability and improve the voltage profile in a distribution network. The injected active and reactive power of Distributed Generators (DG) and the installed capacitor sizes at different buses and for different load levels are optimally controlled. The tap setting of HV/MV transformer along with the line and transformer upgrading is also included in the objective function. A hybrid optimization method, called Hybrid Discrete Particle Swarm Optimization (HDPSO), is introduced to solve this nonlinear and discrete optimization problem. The proposed HDPSO approach is a developed version of DPSO in which the diversity of the optimizing variables is increased using the genetic algorithm operators to avoid trapping in local minima. The objective function is composed of the investment cost of DGs, capacitors, distribution lines and HV/MV transformer, the line loss, and the reliability. All of these elements are converted into genuine dollars. Given this, a single-objective optimization method is sufficient. The bus voltage and the line current as constraints are satisfied during the optimization procedure. The IEEE 18-bus test system is modified and employed to evaluate the proposed algorithm. The results illustrate the unavoidable need for optimal control on the DG active and reactive power and capacitors in distribution networks.
Starting Page	1
Ending Page	6
File Size	302295
Page Count	6
File Format	PDF
ISBN	9781457717932
e-ISBN	9781921897078
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-25
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Queensland Univ of Tech
Subject Keyword	Capacitors Investments Switches reliability distribution network Planning optimization methods Reliability Power generation Genetic algorithms
Content Type	Text
Resource Type	Article

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